Image de couverture de livre

Describe Anything in Medical Images

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xiao, Xi, Zhang, Yunbei, Nguyen, Thanh-Huy, Lam, Ba-Thinh, Wang, Janet, Zhao, Lin, Hamm, Jihun, Wang, Tianyang, Li, Xingjian, Wang, Xiao, Xu, Hao, Liu, Tianming, Xu, Min
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

From Specialist to Generalist: Unlocking SAM's Learning Potential on Unlabeled Medical Images
par: Vu, Vi, et autres
Publié: (2026)

Visual Instance-aware Prompt Tuning
par: Xiao, Xi, et autres
Publié: (2025)

Visual Variational Autoencoder Prompt Tuning
par: Xiao, Xi, et autres
Publié: (2025)

Doctor Approved: Generating Medically Accurate Skin Disease Images through AI-Expert Feedback
par: Wang, Janet, et autres
Publié: (2025)

Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
par: Nguyen, Hoang-Thien, et autres
Publié: (2025)

Describe Anything Model for Visual Question Answering on Text-rich Images
par: Vu, Yen-Linh, et autres
Publié: (2025)

Achieving Reliable and Fair Skin Lesion Diagnosis via Unsupervised Domain Adaptation
par: Wang, Janet, et autres
Publié: (2023)

Prompt-based Adaptation in Large-scale Vision Models: A Survey
par: Xiao, Xi, et autres
Publié: (2025)

DuetMatch: Harmonizing Semi-Supervised Brain MRI Segmentation via Decoupled Branch Optimization
par: Nguyen, Thanh-Huy, et autres
Publié: (2025)

OT-VP: Optimal Transport-guided Visual Prompting for Test-Time Adaptation
par: Zhang, Yunbei, et autres
Publié: (2024)

Understanding the Transferability of Representations via Task-Relatedness
par: Mehra, Akshay, et autres
Publié: (2023)

Test-time Assessment of a Model's Performance on Unseen Domains via Optimal Transport
par: Mehra, Akshay, et autres
Publié: (2024)

Stop Comparing LLM Agents Without Disclosing the Harness
par: Zhang, Yunbei, et autres
Publié: (2026)

SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation
par: Chung, Yunsung, et autres
Publié: (2025)

DescribeEarth: Describe Anything for Remote Sensing Images
par: Li, Kaiyu, et autres
Publié: (2025)

Aligning What You Separate: Denoised Patch Mixing for Source-Free Domain Adaptation in Medical Image Segmentation
par: Bui-Tran, Quang-Khai, et autres
Publié: (2025)

Domain-invariant Mixed-domain Semi-supervised Medical Image Segmentation with Clustered Maximum Mean Discrepancy Alignment
par: Lam, Ba-Thinh, et autres
Publié: (2026)

Agents in the Wild: Safety, Society, and the Illusion of Sociality on Moltbook
par: Zhang, Yunbei, et autres
Publié: (2026)

DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
par: Zhang, Yunbei, et autres
Publié: (2024)

Prime Once, then Reprogram Locally: An Efficient Alternative to Black-Box Service Model Adaptation
par: Zhang, Yunbei, et autres
Publié: (2026)

Semi-MoE: Mixture-of-Experts meets Semi-Supervised Histopathology Segmentation
par: Vu, Nguyen Lan Vi, et autres
Publié: (2025)

RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding
par: Xiao, Xi, et autres
Publié: (2025)

Visual Exclusivity Attacks: Automatic Multimodal Red Teaming via Agentic Planning
par: Zhang, Yunbei, et autres
Publié: (2026)

Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
par: Zhang, Yunbei, et autres
Publié: (2026)

ClawSafety: "Safe" LLMs, Unsafe Agents
par: Wei, Bowen, et autres
Publié: (2026)

From Majority to Minority: A Diffusion-based Augmentation for Underrepresented Groups in Skin Lesion Analysis
par: Wang, Janet, et autres
Publié: (2024)

Not All Directions Matter: Towards Structured and Task-Aware Low-Rank Model Adaptation
par: Xiao, Xi, et autres
Publié: (2026)

Separate Anything You Describe
par: Liu, Xubo, et autres
Publié: (2023)

ReCap: Event-Aware Image Captioning with Article Retrieval and Semantic Gaussian Normalization
par: Nguyen, Thinh-Phuc, et autres
Publié: (2025)

Modality-Specific Enhancement and Complementary Fusion for Semi-Supervised Multi-Modal Brain Tumor Segmentation
par: Chung, Tien-Dat, et autres
Publié: (2025)

Seeing Clearly, Reasoning Confidently: Plug-and-Play Remedies for Vision Language Model Blindness
par: Hu, Xin, et autres
Publié: (2026)

BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography
par: Nguyen, Ba-Thinh, et autres
Publié: (2026)

HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation
par: Nguyen, Ba-Thinh, et autres
Publié: (2026)

CTR-LoRA: Curvature-Aware and Trust-Region Guided Low-Rank Adaptation for Large Language Models
par: Wang, Zhuxuanzi, et autres
Publié: (2025)

Label-Efficient Cross-Modality Generalization for Liver Segmentation in Multi-Phase MRI
par: Bui-Tran, Quang-Khai, et autres
Publié: (2025)

Segment Anything in Medical Images
par: Ma, Jun, et autres
Publié: (2023)

UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
par: Bui-Tran, Quang-Khai, et autres
Publié: (2025)

Enhancing Skin Disease Diagnosis: Interpretable Visual Concept Discovery with SAM
par: Hu, Xin, et autres
Publié: (2024)

VisionGuard: Synergistic Framework for Helmet Violation Detection
par: Nguyen, Lam-Huy, et autres
Publié: (2025)

AutoMiSeg: Automatic Medical Image Segmentation via Test-Time Adaptation of Foundation Models
par: Li, Xingjian, et autres
Publié: (2025)